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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Security Capability Selection, Placement, and Configuration | 15% | - Architectural placement and integration design - Optimization and tuning of security components - Evaluating and selecting security technologies |
| Topic 2: Governance, Risk and Compliance | 10% | - Policy development and enforcement - Aligning security with regulatory requirements - Risk assessment and management frameworks |
| Topic 3: Advanced Automation and Orchestration | 10% | - Integration with enterprise systems and tools - Designing scalable SOAR architectures - Automation strategy and governance |
| Topic 4: Scaling Cybersecurity Defenses and DevSecOps | 15% | - Distributed and high-availability security deployments - Cloud and hybrid environment security design - Security in software development lifecycle |
| Topic 5: Advanced Threat Intelligence and Analysis | 5% | - Threat intelligence lifecycle management - Advanced threat hunting methodologies - Integrating threat data into security architecture |
| Topic 6: Advanced Incident Response and Management | 10% | - Orchestrated response workflows - Designing incident response frameworks - Post-incident activities and continuous improvement |
| Topic 7: Security Data Management | 20% | - Data quality, validation, and governance - Enterprise-scale data ingestion and normalization - Schema design and Common Information Model (CIM) implementation - Data retention, storage, and archiving strategies |
| Topic 8: Measuring and Improving Security Program Effectiveness | 15% | - Security metrics and KPIs design - Maturity models and capability assessments - Continuous monitoring and improvement processes |
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NEW QUESTION # 108
A cybersecurity engineering team is looking to increase its insight into security-relevant activities on Windows hosts. They are already importing a subset of Windows Event Logs but seek more visibility into process creation, process image hashes, and driver/DLL load events. What log types should be prioritized to improve visibility and detection footprint? (Choose all that apply.)
Answer: A,C
Explanation:
Sysmon logs provide detailed Windows host telemetry such as process creation, file hashes, network connections, and driver or DLL load activity. EDR logs also provide endpoint-level visibility into process behavior, execution chains, file activity, and suspicious host events, making them valuable for improving detection coverage on Windows systems.
NEW QUESTION # 109
How does GDPR impact the collection and logging of personal data as it relates to architecture planning?
Answer: D
Explanation:
GDPR affects architecture planning by requiring personal data collection and logging to be limited to what is necessary for a defined purpose. Systems should include strong access controls and privacy-preserving techniques such as anonymization or pseudonymization to reduce exposure and support compliance.
NEW QUESTION # 110
A security architect is designing a Splunk Enterprise Security (ES) deployment. The organization wants to transition from traditional correlation searches to Risk-Based Alerting (RBA) to reduce alert fatigue. Which of the following is a fundamental requirement for implementing RBA successfully?
Answer: D
Explanation:
Risk-Based Alerting (RBA) in Splunk relies on assigning risk scores to objects (such as users or systems) based on observed behaviors, which are typically mapped to a cybersecurity framework like MITRE ATT&CK. This allows the aggregation of risk over time, triggering an alert only when a specific threshold is met, thereby significantly reducing alert fatigue compared to traditional binary alerts.
NEW QUESTION # 111
Data sources such as Active Directory, Entra ID, Okta, Duo, HR Databases, CMDB, and LDAP are important for populating which of the following Splunk Enterprise Security functions?
Answer: C
Explanation:
These sources provide authoritative information about users, systems, ownership, authentication context, roles, departments, device inventory, and business criticality. Splunk Enterprise Security uses this information to populate Assets & Identities, enabling better enrichment, correlation, prioritization, and risk-based analysis.
NEW QUESTION # 112
Which of the following is the most appropriate metric to track SOC analyst efficiency over time?
Answer: D
Explanation:
Mean time to respond is a direct measure of how quickly the SOC acts on detected incidents, making it a core efficiency metric, unlike infrastructure-related counts that don't reflect analyst performance.
NEW QUESTION # 113
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